Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability

Eghbal Rashidi, Mohsen Parsafard, Hugh Medal and Xiaopeng Li

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 91, issue C, 33-50

Abstract: We study the effect that installing sidewalks and crosswalks, as traffic calming facilities, has on the safety and usability of a transportation network with automobile, public transit and walking as modes of transportation. A mathematical programming model is proposed for this problem whose objective is to minimize the safety hazard for pedestrians and the total transportation cost of the network. We utilize a customized greedy heuristic and a simulated annealing algorithm for solving the problem. The computational results indicate that installing sidewalks and crosswalks at proper locations can reduce the overall transportation cost and improve pedestrians’ safety.

Keywords: Multimodal transportation network; Mixed-integer nonlinear programming; Network design; Pedestrians’ safety; Traffic calming; User equilibrium (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tre.2016.03.016

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